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A reverse extended Hardy–Hilbert’s inequality with parameters
Journal of Inequalities and Applications volume 2023, Article number: 58 (2023)
Abstract
In this paper, by virtue of the symmetry principle, applying the techniques of real analysis and Euler–Maclaurin summation formula, we construct proper weight coefficients and use them to establish a reverse extended Hardy–Hilbert’s inequality with multi-parameters. Then, we obtain the equivalent forms and some equivalent statements of the best possible constant factor related to several parameters. Finally, we illustrate how the obtained results can generate some new reverse Hardy–Hilbert-type inequalities.
1 Introduction
Suppose that \(p > 1\), \(\frac{1}{p} + \frac{1}{q} = 1\), \(a_{m}, b_{n} \ge 0\), \(0 < \sum_{m = 1}^{\infty} a_{m}^{p} < \infty \), and \(0 < \sum_{n = 1}^{\infty} b_{n}^{q} < \infty \). We have the following well-known Hardy–Hilbert’s inequality with the best possible constant factor \(\frac{\pi}{\sin (\pi /p)}\) (cf. [1], Theorem 315):
In 2006, by introducing parameters \(\lambda _{i} \in (0,2]\) (\(i = 1,2\)), \(\lambda _{1} + \lambda _{2} = \lambda \in (0,4]\), using Euler–Maclaurin summation formula, an extension of (1) was provided by Krnić et al. [2] as follows:
where the constant factor \(B(\lambda _{1},\lambda _{2})\) is the best possible.
is the beta function. For \(\lambda = 1\), \(\lambda _{1} = \frac{1}{q}\), \(\lambda _{2} = \frac{1}{p}\), inequality (2) reduces to (1); for \(p = q = 2\), \(\lambda _{1} = \lambda _{2} = \frac{\lambda}{2}\), (2) reduces to Yang’s inequality in [3]. Recently, applying inequality (2), Adiyasuren et al. [4] gave a new Hardy–Hilbert’s inequality with the kernel \(\frac{1}{(m + n)^{\lambda}} \) involving two partial sums.
If \(f(x),g(y) \ge 0\), \(0 < \int _{0}^{\infty} f^{p}(x)\,dx < \infty \), and \(0 < \int _{0}^{\infty} g^{q}(y)\,dy < \infty \), then we still have the following Hardy–Hilbert’s integral inequality (cf. [1], Theorem 316):
where the constant factor \(\pi /\sin (\frac{\pi}{p})\) is still the best possible. Inequalities (1), (2), and (3) with their extensions and reverses play an important role in the analysis and its applications (cf. [5–15]).
In 1934, a half-discrete Hilbert-type inequality was given as follows (cf. [1], Theorem 351): If \(K(t)\) (\(t > 0\)) is a decreasing function, \(p > 1\), \(\frac{1}{p} + \frac{1}{q} = 1\), \(0 < \phi (s) = \int _{0}^{\infty} K(t)t^{s - 1}\,dt < \infty \), \(a_{n} \ge 0\), \(0 < \sum_{n = 1}^{\infty} a_{n}^{p} < \infty \), then we have
In recent years, some new extensions of (4) with the reverses were provided by [16–23].
In 2016, by means of the technique of real analysis and the weight coefficients, Hong et al. [24] considered some equivalent statements of the extensions of (1) with the best possible constant factor related to a few parameters. Other similar works about the extensions of (1), (2), (3), and (4) with the reverses were given by [25–32].
In this paper, following the way of [2, 24], by means of the weight coefficients, the idea of introduced parameters, the techniques of real analysis, and the Euler–Maclaurin summation formula, a new reverse of the extension of (1) with parameters as well as the equivalent forms are given. The equivalent statements of the best possible constant factor related to several parameters are obtained, and some particular inequalities are provided.
2 Some lemmas
In what follows, we suppose that \(0 < p < 1\) (\(q < 0\)), \(\frac{1}{p} + \frac{1}{q} = 1\), \(\lambda \in (0,\frac{5}{2}]\), \(\lambda _{i} \in (0,\frac{5}{4}] \cap (0,\lambda )\) (\(i = 1,2\)), \(a_{m}, b_{n} \ge 0\), \(m,n \in \mathrm{N} = \{ 1,2, \ldots \}\), such that
Lemma 1
(cf. [5], (2.2.13))
If \(g(t)\) is a positive strictly decreasing function in \([m,\infty )\) (\(m \in \mathrm{N}\)) with \(g(\infty ) = 0\), \(P_{i}(t)\) and \(B_{i}\) (\(i \in \mathrm{N}\)) are the Bernoulli functions and the Bernoulli numbers of i-order, then we have
In particular, for \(q = 1\), in view of \(B_{2} = \frac{1}{6}\), we have
Lemma 2
Define the following weight coefficient:
We have the following inequalities:
where \(\theta _{m}(\lambda _{2})\) is indicated by
Proof
For fixed \(m \in \mathrm{N}\), we set the following function:
By the use of Euler–Maclaurin summation formula (cf. [2, 3]), we have
We find \(\frac{1}{2}g(m,1) = \frac{1}{2(m^{\lambda} + 1)}\),
We also obtain
For \(0 < \lambda _{2} \le \frac{5}{4}\), \(\lambda _{2} < \lambda \le \frac{5}{2}\), it follows that
By (6), we obtain
and then we find
Hence, it follows that
Since \((6 - 15\lambda _{2} + 2\lambda _{2}^{2})' = - 15 + 4\lambda _{2} < 0\) (\(\lambda _{2} \in (0,\frac{5}{4}]\)), we have
Setting \(t = mu^{1/\lambda}\), we find
On the other hand, we also have
Since we find \(\frac{1}{2}g(m,1) = \frac{1}{2(m^{\lambda} + 1)}\) and
in view of (6), we obtain
Hence, we have
Setting \(t = mu^{1/\lambda}\), we obtain
where \(\theta _{m}(\lambda _{2}) = \frac{\sin (\pi \lambda _{2}/\lambda )}{\pi} \int _{0}^{\frac{1}{m^{\lambda}}} \frac{u^{(\lambda _{2}/\lambda ) - 1}}{1 + u}\,du\). Since we find
namely, \(\theta _{m}(\lambda _{2}) = O(\frac{1}{m^{\lambda _{2}}}) \in (0,1)\) (\(m \in \mathrm{N}\)). Therefore, inequalities (8) with (9) follow.
The lemma is proved. □
Lemma 3
We have the following reverse extended Hardy–Hilbert’s inequality with parameters:
Proof
In the same way, for \(n \in \mathbf{N}\), we have the following inequalities for another weight coefficient:
By the reverse Hölder inequality (cf. [33]), we obtain
Then, by (8) and (11), in view of \(0 < p < 1\) (\(q < 0\)), we have (10).
The lemma is proved. □
Remark 1
By (10), for \(\lambda _{1} + \lambda _{2} = \lambda \in (0,\frac{5}{2}]\), \(0 < \lambda _{i} \le \frac{5}{4}\) (\(i = 1,2\)), we find
and the following reverse inequality:
Lemma 4
The constant factor \(k_{\lambda} (\lambda _{1}) = \frac{\pi}{\lambda \sin (\pi \lambda _{1}/\lambda )}\) in (13) is the best possible.
Proof
For any \(0 < \varepsilon < p\lambda _{1}\), we set
If there exists a constant \(M \ge k_{\lambda} (\lambda _{1})\) such that (13) is valid when we replace \(k_{\lambda} (\lambda _{1})\) by M, then in particular, by substitution of \(a_{m} = \tilde{a}_{m}\) and \(b_{n} = \tilde{b}_{n}\) in (13), we have
By (14) and the decreasingness property of series, for \(0 < p < 1\), \(q < 0\), we obtain
By (11) and (12), setting \(\hat{\lambda}_{1} = \lambda _{1} - \frac{\varepsilon}{p} \in (0,\frac{5}{4}) \cap (0,\lambda )\) (\(0 < \hat{\lambda}_{2} = \lambda _{2} + \frac{\varepsilon}{p} = \lambda - \hat{\lambda}_{1} < \lambda \)), we find
Then we have
For \(\varepsilon \to 0^{ +} \), we find \(k_{\lambda} (\lambda _{1}) \ge M\). Hence, \(M = k_{\lambda} (\lambda _{1})\) is the best possible constant factor of (13). The lemma is proved. □
Remark 2
Setting \(\tilde{\lambda}_{1}: = \frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q}\), \(\tilde{\lambda}_{2}: = \frac{\lambda - \lambda _{1}}{q} + \frac{\lambda _{2}}{p}\), we find
If we add the condition that \(\lambda - \lambda _{1} - \lambda _{2} \in ( - p\lambda _{1},p(\lambda - \lambda _{1}))\),then we can find
if we add the condition that \(\lambda - \lambda _{1} - \lambda _{2} \in [p(\lambda - \lambda _{1} - \frac{5}{4},p(\frac{5}{4} - \lambda _{1})]\),then we have \(\tilde{\lambda}_{1},\tilde{\lambda}_{2} \le \frac{5}{4}\).
Then, with regard to the above assumptions, we can rewrite (13) as follows:
Lemma 5
If the constant factor \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1})\) in (10) is the best possible, then for
we have \(\lambda _{1} + \lambda _{2} = \lambda \).
Proof
For \(0 < \tilde{\lambda}_{1} < \lambda \),we have \(k_{\lambda} (\tilde{\lambda}_{1}) = \frac{\pi}{\lambda \sin (\pi \tilde{\lambda}_{1}/\lambda )} \in \mathrm{R}_{ +} = (0,\infty )\).
If the constant factor \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1})\) in (10) is the best possible, then for \(\tilde{\lambda}_{1} = \frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q}\), \(\tilde{\lambda}_{2} = \frac{\lambda - \lambda _{1}}{q} + \frac{\lambda _{2}}{p}\), in view of the assumption and (15), we have the following inequality:
By the reverse Hölder inequality with weight (cf. [33]), we find
Hence, we find \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1}) = k_{\lambda} (\tilde{\lambda}_{1})\), namely, (16) keeps the form of equality.
We observe that (16) keeps the form of equality if and only if there exist constants A and B such that they are not all zero and (cf. [33])
Assuming that \(A \ne 0\), we have \(u^{\lambda - \lambda _{2} - \lambda _{1}} = \frac{B}{A}\) a.e. in \(\mathrm{R}_{ +} \), and then \(\lambda - \lambda _{2} - \lambda _{1} = 0\), namely, \(\lambda _{1} + \lambda _{2} = \lambda \).
The lemma is proved. □
3 Main results
Theorem 1
Inequality (10) is equivalent to the following inequalities:
If the constant factor in (10) is the best possible, then so is the constant factor in (17) and (18).
Proof
Suppose that (17) is valid. By the reverse Hölder inequality (cf. [33]), we have
On the other hand, assuming that (10) is valid, we set
If \(J = \infty \), then (17) is naturally valid; if \(J = 0\), then it is impossible to make (17) valid, namely, \(J > 0\). Suppose that \(0 < J < \infty \). By (10), we have
namely, (17) follows, which is equivalent to (10).
Suppose that (18) is valid. By the reverse Hölder inequality, we have
Then by (18) we obtain (10). On the other hand, assuming that (10) is valid, we set
If \(J_{1} = \infty \), then (18) is naturally valid; if \(J_{1} = 0\), then it is impossible to make (18) valid, namely, \(J_{1} > 0\). Suppose that \(0 < J_{1} < \infty \). By (10), we have
namely, (18) follows, which is equivalent to (10).
Hence, inequalities (10), (17), and (18) are equivalent.
If the constant factor in (10) is the best possible, then so is the constant factor in (17) and (18). Otherwise, by (19) (or (20)), we would reach a contradiction that the constant factor in (10) is not the best possible.
The theorem is proved. □
Theorem 2
The following statements (i), (ii), (iii), and (iv) are equivalent:
-
(i)
Both \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1})\) and \(k_{\lambda} (\frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q})\) are independent of p, q;
-
(ii)
\(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}( \lambda _{1}) = k_{\lambda} (\frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q})\);
-
(iii)
\(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1})\) in (10) is the best possible constant factor;
-
(iv)
If \(\lambda - \lambda _{1} - \lambda _{2} \in ( - p\lambda _{1},p(\lambda - \lambda _{1}))\cap [p(\lambda - \lambda _{1} - \frac{5}{4},p(\frac{5}{4} - \lambda _{1} )]\), then \(\lambda _{1} + \lambda _{2} = \lambda \).
If the statement (iv) follows, namely, \(\lambda _{1} + \lambda _{2} = \lambda \), then we have (13) and the following equivalent inequalities with the best possible constant factor \(k_{\lambda} (\lambda _{1})\):
Proof
(i) ⇒ (ii). By (i), since \(\tilde{\lambda}_{1} + \tilde{\lambda}_{2} = \lambda \), we have
namely, \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1}) = k_{\lambda} (\frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q})\).
(ii) ⇒ (iv). If \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1}) = k_{\lambda} (\frac{\lambda - \lambda _{2}}{p} + \frac{\lambda _{1}}{q})\), then (16) keeps the form of equality. In view of the proof of Lemma 5, it follows that \(\lambda _{1} + \lambda _{2} = \lambda \).
(iv) ⇒ (i). If \(\lambda _{1} + \lambda _{2} = \lambda \), then
which is independent of p, q. Hence, it follows that (i) ⇔ (ii) ⇔ (iv).
(iii) ⇒ (iv). By the assumption and Lemma 5, we have \(\lambda _{1} + \lambda _{2} = \lambda \).
(iv) ⇒ (iii). By Lemma 4, for \(\lambda _{1} + \lambda _{2} = \lambda \), \(k_{\lambda}^{\frac{1}{p}}(\lambda _{2})k_{\lambda}^{\frac{1}{q}}(\lambda _{1})( = k_{\lambda} (\lambda _{1}))\) is the best possible constant factor of (10). Therefore, we have (iii) ⇔ (iv).
Hence, the statements (i), (ii), (iii), and (iv) are equivalent.
The theorem is proved. □
Remark 3
(i) For \(\lambda _{1} = \lambda _{2} = \frac{\lambda}{2} \in (0,\frac{5}{4}]\) (\(0 < \lambda \le \frac{5}{2}\)) in (13), (21), and (22), we have the following equivalent inequalities with the best possible constant factor \(\frac{\pi}{\lambda} \):
In particular, for \(\lambda = \frac{5}{2}\),we have the following equivalent inequalities:
(ii) For \(\lambda = 1\), \(\lambda _{1} = \frac{1}{r}\), \(\lambda _{2} = \frac{1}{s}\) (\(r > 1,\frac{1}{r} + \frac{1}{s} = 1\)) in (13), (21), and (22), we have the following equivalent inequalities with the best possible constant factor \(\frac{\pi}{\sin (\pi /r)}\):
where \(\hat{\theta}_{m}(\frac{1}{s}): = \frac{\sin (\pi /s)}{\pi} \int _{0}^{\frac{1}{m}} \frac{u^{ - 1/r}}{1 + u}\,du = O(\frac{1}{m^{1/s}}) \in (0,1)\) (\(m \in \mathrm{N}\)).
4 Conclusions
In this paper, by virtue of the symmetry principle, applying the techniques of real analysis and Euler–Maclaurin summation formula, we construct proper weight coefficients and use them to establish a reverse extended Hardy–Hilbert’s inequality with multi-parameters in Lemma 3. Then, we obtain the equivalent forms and some equivalent statements of the best possible constant factor related to several parameters in Theorem 1 and Theorem 2. Finally, we illustrate how the obtained results can generate some new reverse Hardy–Hilbert-type inequalities in Remark 3. The lemmas and theorems provide an extensive account of this type of reverse inequalities.
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Acknowledgements
The authors thank the referee for his useful proposal to reform the paper.
Funding
This work is supported by the National Natural Science Foundation (Nos. 11961021, 11561019), Guangxi Natural Science Foundation (2020GXNSFAA159084) and Hechi University Research Foundation for Advanced Talents under Grant (Nos. 2019GCC005, 2021GCC024). We are grateful for this help.
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BY carried out the mathematical studies, participated in the sequence alignment, and drafted the manuscript. RL and XH participated in the design of the study and performed the numerical analysis. All authors read and approved the final manuscript.
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Luo, R., Yang, B. & Huang, X. A reverse extended Hardy–Hilbert’s inequality with parameters. J Inequal Appl 2023, 58 (2023). https://doi.org/10.1186/s13660-023-02967-5
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DOI: https://doi.org/10.1186/s13660-023-02967-5
MSC
- 26D15
- 26D10
- 47A05
Keywords
- Weight coefficient
- Hardy–Hilbert’s inequality
- Equivalent statement
- Parameter
- Reverse